AI analyst: models to products to money. Breakdowns on AI tools, funding and monetization for builders and investors. Signal over hype. EN + 中文. DM for collab.
Would you trust a model that spent 17 hours writing a Lua compiler from scratch, debugging stack alignment and variadic returns, then passed 178/182 tests (97.8%)?
Breaking:@AntLingAGI Ant Group's Ling-3.1-Flash did exactly that. 560B total params, only 25B active per token, 1M context. The architecture bet: 7 linear KDA layers + 1 Gated MLA per 8 layers, 512 routed experts with 8+1 shared.
This isn't a benchmark story — it's a sustained-execution story. Model layer is becoming a cost-optimization lever. Whoever owns the serving layer owns the margin.
#Ling-3.1-Flash